5+ years of Python experience in quantitative finance
Familiarity with linear models and basic statistics
Proficiency in Python data science tools, including Plotly, Altair, JAX, TensorFlow, and PyTorch
Experience in developing alpha research or machine learning pipelines
Highly analytical with strong problem-solving abilities
Effective communication skills for conveying complex concepts
Ability to optimize and debug performance in data applications
Familiarity with C++/Rust/CUDA for native code profiling (nice to have)
Responsibilities
Design and contribute to the alpha research platform
Maintain and test personal code following best practices including unit and regression testing
Provide leadership in determining the design and architecture of the pipeline
Mentor junior team members
Engage with quantitative researchers and stakeholders to implement prioritized features
Benefits
Comprehensive health insurance
Retirement savings plan with employer match
Professional development opportunities
Flexible working arrangements
Dynamic team environment focused on innovation
Full Job Description
Senior Quantitative Developer
The Central Execution Book (CEB) is a global effort to optimize the firm's execution across business lines and asset classes. At a high level the CEB seeks to improve execution quality by reducing market impact and controlling information leakage, but the group's mandate also includes the deployment of the firm's risk capital to do so. The above requires solving complex technical and quantitative problems.
We are looking for a highly driven, results-oriented Senior Quantitative Developer to join a dynamic group tasked with developing our next-generation alpha research pipeline, encompassing data ingestion to model evaluation and reporting. We are at the forefront of industry-leading initiatives applying technology, quantitative analysis, and data-driven methodologies to our execution process.
Principal Responsibilities
The successful candidate will be expected to:
Help design and contribute to the alpha research platform
Support, maintain, and test their own code following best practices, including unit testing, regression testing, documentation, and automation within typical CI processes
Provide leadership and vision to help determine the overall direction, design, and architecture of the alpha research pipeline
Mentor junior resources
Regularly interact with quantitative researchers and other stakeholders, and prioritize and implement features
Qualifications / Skills Required
5+ years of Python experience in a quantitative finance setting
Familiarity with linear models and basic statistics for creating model evaluation and reporting workflows
Familiarity with the Python data science ecosystem, including dashboarding and popular ML libraries such as Plotly, Altair, JAX, TensorFlow, and PyTorch
Prior experience building alpha research or machine learning pipelines
Highly analytical with strong problem-solving skills and attention to detail
Strong communication skills, with the ability to explain technical and sophisticated concepts clearly and concisely
Ability to tune and debug runtime performance of data applications
Familiarity with C++/Rust/CUDA to debug and profile underlying native code in ML libraries (Nice to have)
